Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7849af52bf791d6c3eab69b664d2f85e3af44bf6b9b9431ee08e85f831d86391
+size 3179132256

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff8a415992f42ec72b21d8d7477db78b3a42bd32cb3de74b7e5a08f63e12ac6c
+size 4321957216

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3751246662d930cff0c31b3261037dfbe4e23cb0241d68963e4773d5761ea9fa
+size 4018918752

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46ca4aff547de2665fd4d720385983fb411fb25bf486ce150f7dabe7608b8242
+size 3664500064

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa58f249cc519a5e80da67363c7af9edd4d543bc413fcd8d30ce787891b56db6
+size 4661212512

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f91f4e9ddd403a0ed6e06e16c534ebb4188aaddd30525f1389348734fb4e2ca5
+size 4920735072

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b366546604fa8779fc78487b2af0f3ef1882e3646d4dfedd39f4d21b7a8cea96
+size 4692669792

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33be00b80b71404b4837d713fcfd375d32a87831915d5fe563c424374973f2e3
+size 5599294816

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bba43f29271616ae242ebe1524af790187340f4237093ea90d554fc564436137
+size 5732988256

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9549fafc084b09280550c6fba2a8b17945d1de012c9aad3132c032fc8bb8f176
+size 5599294816

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:732110d6ecb407a2e2d417ec8488b5b484c68e979ee9e6059d3e88cf5d633ded
+size 6596007264

Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cf75cd3bff6471ee0ba56d16b53e489b431272c3222f656754d885d96199c05
+size 8540771680

README.md

@@ -0,0 +1,186 @@
+---
+license: llama3
+library_name: transformers
+tags:
+- mergekit
+- merge
+- TensorBlock
+- GGUF
+base_model: Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle
+model-index:
+- name: Llama-3-8B-Ultra-Instruct-SaltSprinkle
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 61.35
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 77.76
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 67.88
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 52.82
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 74.98
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 70.89
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle
+      name: Open LLM Leaderboard
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle - GGUF
+
+This repo contains GGUF format model files for [Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle](https://huggingface.co/Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
+| [Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF/blob/main/Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q8_0.gguf) | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF --include "Llama-3-8B-Ultra-Instruct-SaltSprinkle-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/Llama-3-8B-Ultra-Instruct-SaltSprinkle-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```